vcf2diploid
vcf2diploid constructs a diploid personal genome by integrating individual variants to enable allele-specific expression (ASE) and allele-specific binding (ASB) analyses.
Key Features:
- Personalized Genome Construction: Constructs a diploid personal genome sequence by integrating SNPs, insertions/deletions (indels), and structural variants into a reference genome.
- Gene Annotation: Generates corresponding personalized gene annotations for the constructed diploid genome.
- Bias Mitigation in Read Mapping: Addresses read mapping bias toward reference alleles to improve allele-specific signal detection.
- ASE and ASB Identification: Compares mapped reads between maternal and paternal alleles to identify allele-specific expression and binding events.
Scientific Applications:
- Functional Genomic Studies: Applied to NA12878 data from the 1000 Genomes Project with matched RNA-Seq and ChIP-Seq datasets to observe allele-specific behaviors.
- X-Chromosome Inactivation Analysis: Enables analysis of allele-specific patterns relevant to X-chromosome inactivation.
- Regulatory Network Framework: Facilitates investigation of interactions between ASE and ASB across multiple transcription factor events.
- Correlation and Network Motifs Analysis: Supports correlation analyses and examination of network motifs to reveal coordination between ASB and ASE.
Methodology:
Incorporates SNPs, indels, and structural variants into a reference genome to construct a personalized diploid genome; aligns sequencing reads to the personal genome while correcting mapping bias toward reference alleles; identifies significant differences in read counts between maternal and paternal alleles to detect ASE and ASB.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C++
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Rozowsky J, Abyzov A, Wang J, Alves P, Raha D, Harmanci A, Leng J, Bjornson R, Kong Y, Kitabayashi N, Bhardwaj N, Rubin M, Snyder M, Gerstein M. AlleleSeq: analysis of allele‐specific expression and binding in a network framework. Molecular Systems Biology. 2011;7(1). doi:10.1038/msb.2011.54. PMID:21811232. PMCID:PMC3208341.